The Art of Data Analysis How to Answer Almost any Question Using Basic Statistics
ISBN: 9781118411315 | 1118411315
Edition: 1stFormat: Paperback
Publisher: Wiley
Pub. Date: 5/20/2013
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With a focus on presenting basic statistical concepts in a friendly and accessible style, this book focuses on the more subjective side of statistics-the art of data analysis. It provides fun, common sense examples that explore statistical concepts and methods and is aimed at helping anyone who has to make decisions based on raw data or compiled results. It also introduces basic concepts like descriptive statistics and regression and addresses important issues that tend to complicate analysis such as skewed distributions and outliers.
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Preface ix
PART 1
The Basics
1. Statistics: The Life of the Party 3
2. Lions, and Tigers, and . . . Bigfoot? Oh, My:
How Questionable Data Can Screw Up an Otherwise Perfectly Good Statistical Analysis 7
3. Asteroid Belts and Spandex Cars: Using Descriptive Statistics to Answer Your Most Weighty Questions 23
4. Baseball, Game Shows, and Sidekicks: Who Cares about Probability Anyway? 43
5. What It’s Like to Be Normal: Probability Distributions and One Rule That Could Make You Wildly Popular ... MORE
PART 2
What a Few Estimates and a Little Probability
Can Do for You
6. Men Are Insensitive and Women Are Illogical. Really: Asserting Your Stereotypes with Confidence 89
7. Godzilla versus King Kong: How Hypothesis Tests Can Be Used to Settle the Battle of the Movie Monsters 109
8. Lab Rats and Roommates: Analysis of Variance and How to Channel Your Inner Mad Scientist 129
9. When the Zombie Flu Went Viral: Regressing the Myth Out of Urban Myths 143
Appendix A: Critical Values for the Standard Normal Distribution 161
Appendix B: Critical Values for the T-Distribution 163
Appendix C: Critical Values for the Chi-Squared Distribution 165
Glossary 167
References 173
Index 175
KRISTIN H. JARMAN, PhD, is Senior Research Scientist at the Pacific Northwest National Laboratory in Richland, Washington, where she applies basic and not-so-basic statistical analyses to her own set of research challenges.
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